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Sustainable Suppliers-to-Consumers’ Sales Mode Selection for Perishable Goods Considering the Blockchain-Based Tracking System

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Listed:
  • Shuai Zhao

    (Faculty of Management and Economics, Kunming University of Science and Technology, Kunming 650504, China)

  • Xiaoning Cao

    (Faculty of Management and Economics, Kunming University of Science and Technology, Kunming 650504, China)

Abstract

Given the significant product spoilages of perishable goods transported over long distances, they are usually sold from suppliers to consumers through an offline direct channel. Sustainable suppliers can utilize the blockchain-based tracking system (BTS) to reduce product spoilages, enabling the spoilage reduction effect, and offer authentic information, triggering the premium effect. With the advent of e-commerce, they can now opt for an online direct channel, setting the online direct price as either non-different or different from the offline direct price, and have to face challenges in selecting the optimal sales mode. This paper addresses these complexities by developing a mathematical model to construct a sustainable suppliers-to-consumers pricing model, incorporating the BTS, in the perishable goods market. Our research reveals that the decision to adopt the BTS hinges on factors like the spoilage reduction effect, premium effect, production cost, and tag cost, with the premium effect outweighing the spoilage-reduction effect. The necessity of using the BTS grows with extended circulation times, where the BTS significantly reduces spoilages during transportation, fostering sustainable development. While sustainable suppliers may not always bear the tag cost independently, they can adjust their pricing strategies automatically and pass the tag cost to consumers for more profit. The BTS adoption decision does not influence the optimal sales mode selection strategy. The offline direct channel offers the highest profit for suppliers, followed by the Online to Offline (O2O) direct channel with differential pricing, and the O2O direct channel with non-differential pricing yields the lowest profit.

Suggested Citation

  • Shuai Zhao & Xiaoning Cao, 2024. "Sustainable Suppliers-to-Consumers’ Sales Mode Selection for Perishable Goods Considering the Blockchain-Based Tracking System," Sustainability, MDPI, vol. 16(8), pages 1-32, April.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:8:p:3433-:d:1379089
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    References listed on IDEAS

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    1. Saak, Alexander E., 2016. "Traceability and reputation in supply chains," International Journal of Production Economics, Elsevier, vol. 177(C), pages 149-162.
    2. Alberto Cavallo, 2017. "Are Online and Offline Prices Similar? Evidence from Large Multi-channel Retailers," American Economic Review, American Economic Association, vol. 107(1), pages 283-303, January.
    3. Xu Chen & Xiaojun Wang & Xinkuang Jiang, 2016. "The impact of power structure on the retail service supply chain with an O2O mixed channel," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(2), pages 294-301, February.
    4. Kyle Cattani & Wendell Gilland & Hans Sebastian Heese & Jayashankar Swaminathan, 2006. "Boiling Frogs: Pricing Strategies for a Manufacturer Adding a Direct Channel that Competes with the Traditional Channel," Production and Operations Management, Production and Operations Management Society, vol. 15(1), pages 40-56, March.
    5. Yang, Lei & Tang, Ruihong, 2019. "Comparisons of sales modes for a fresh product supply chain with freshness-keeping effort," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 425-448.
    6. Yujie Xiao & Shuai Yang, 2016. "The Retail Chain Design for Perishable Food: The Case of Price Strategy and Shelf Space Allocation," Sustainability, MDPI, vol. 9(1), pages 1-11, December.
    7. Xue-Yan Wu & Zhi-Ping Fan & Bing-Bing Cao, 2023. "An analysis of strategies for adopting blockchain technology in the fresh product supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 61(11), pages 3717-3734, June.
    8. Murat Erkoc & Haresh Gurnani & Saibal Ray & Mingzhu Jin, 2023. "Quality investment, inspection policy, and pricing decisions in a decentralized supply chain," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 207-226, January.
    9. Yang, Ya & Chi, Huihui & Tang, Ou & Zhou, Wei & Fan, Tijun, 2019. "Cross perishable effect on optimal inventory preservation control," European Journal of Operational Research, Elsevier, vol. 276(3), pages 998-1012.
    10. Mark Ferguson & Michael E. Ketzenberg, 2006. "Information Sharing to Improve Retail Product Freshness of Perishables," Production and Operations Management, Production and Operations Management Society, vol. 15(1), pages 57-73, March.
    11. Aiello, Giuseppe & Enea, Mario & Muriana, Cinzia, 2015. "The expected value of the traceability information," European Journal of Operational Research, Elsevier, vol. 244(1), pages 176-186.
    12. Zhou, Yong-Wu & Guo, Jinsen & Zhou, Wenhui, 2018. "Pricing/service strategies for a dual-channel supply chain with free riding and service-cost sharing," International Journal of Production Economics, Elsevier, vol. 196(C), pages 198-210.
    13. Shuai Zhao & Wenli Li, 2023. "Blockchain-based traceability system adoption decision in the dual-channel perishable goods market under different pricing policies," International Journal of Production Research, Taylor & Francis Journals, vol. 61(13), pages 4548-4574, July.
    14. Mohamed Ben-Daya & Elkafi Hassini & Zied Bahroun, 2019. "Internet of things and supply chain management: a literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 4719-4742, August.
    15. Huang, Wei & Swaminathan, Jayashankar M., 2009. "Introduction of a second channel: Implications for pricing and profits," European Journal of Operational Research, Elsevier, vol. 194(1), pages 258-279, April.
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